This paper proposes a model-based technique for lowering the entrance barrier for service providers to register services with a marketplace broker, such that the service is rapidly configured to utilize the broker’s local service delivery management components. Specifically, it uses process modeling for supporting the execution steps of a service and shows how service delivery functions (e.g. payment points) “local ” to a service broker can be correctly configured into the process model. By formalizing the different operations in a service delivery function (like payment or settlement) and their allowable execution sequences (full payments must follow partial payments), including crossfunction dependencies, it shows how through tool support, the non-technical user can quickly configure service delivery functions in a consistent and complete way. 1.

Abstract. In the last few years SAP introduced Service-oriented Architecture as a blueprint for an adaptable, flexible, and open IT architecture for developing services-based, enterprise-scale business solutions. An Enterprise Service is typically a series of Web services combined with business logic that can be accessed and used repeatedly to support a particular business process. Aggregating Web services into business-level enterprise services provides a more meaningful foundation for the task of automating enterprise-scale business scenarios. At the same time, SAP Research was investigating in numerous research projects how ontologies, reasoning, semantic web services technologies, and advanced business process modelling technologies can be applied in order to improve technical foundation behind SAP SOA and business modelling. In this extended abstract we describe some selected business process composition and integration scenarios identified as potential candidates for application of business process composition techniques, semantic technologies, ontologies, and reasoning. We further identify some challenges linked to application of such advanced technologies in the context of modelling and software engineering.

Abstract. When creating an execution-level process model today, two crucial problems are how to find the right services (service discovery and composition), and how to make sure they are in the right order (semantic process validation). While isolated solutions for both problems exist, a unified approach has not yet been available. Our approach resolves this shortcoming by gathering all existing information in the process, thus making the basis of semantic service discovery and task composition both broader and more targeted. Thereby we achieve the following benefits: (i) less modeling overhead for semantic annotations to the process, (ii) more information regarding the applicability of services, and (iii) early avoidance of inconsistencies in the interrelation between all process parts. Consequently, new or changed business processes can be realized in IT more efficiently and with fewer errors, thus making enterprises more agile in response to new requirements and opportunities. 1